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--- |
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base_model: |
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- alpindale/WizardLM-2-8x22B |
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- HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: cc-by-nc-sa-4.0 |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Models Merged |
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The following models were included in the merge: |
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* [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B) |
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* [HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1) |
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## Benchmark results |
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### 1. MT-Bench from lmsys |
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We adapted the code from [FastChat](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) to benchmark our model with GPT-4 as a judge. Here is the result |
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``` |
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| | Model | Turn | Score | |
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|-------|--------------------------|------|----------| |
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| First | tlphams/Wizard-Zephyr-Orpo-8x22B | 1 | 9.1625 | |
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| | mistralai/Mixtral-8x22B-Instruct-v0.1 | 1 | 9.1500 | |
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| Second| tlphams/Wizard-Zephyr-Orpo-8x22B | 2 | 8.873418 | |
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| | mistralai/Mixtral-8x22B-Instruct-v0.1 | 2 | 8.250000 | |
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| Average| tlphams/Wizard-Zephyr-Orpo-8x22B | | 9.018868 | |
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| | mistralai/Mixtral-8x22B-Instruct-v0.1 | | 8.700000 | |
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``` |
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The score is slightly lower than [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B), but still higher than GPT-4-0314. Then the research and experimental work still need to continue ^^ |